Senior Data Analyst - Epigenetics (Indianapolis)
Job details
- Pay
- $80,000 – $85,000 a year
- Level
- Senior
- Education
- Bachelor's degree
- Posted
- Nov 13, 2026
- Last confirmed open
- Nov 13, 2026
- Job function
- Software/Internet/AI › Data & Analytics › Data Analyst
About this role
Req Id: 44414 Job Title: Senior Data Analyst - Epigenetics (Indianapolis) City: Indianapolis
Job Summary ---------------
At Purdue University, your expertise can help uncover discoveries that advance our understanding of mental health. As a Senior Data Analyst working with principal investigator Dr. Erin C.
Dunn, you will contribute to innovative research exploring the factors that influence depression risk and resilience across the lifespan.
In this role, you'll join a multidisciplinary research team analyzing complex datasets, including longitudinal data from large birth cohort studies. Your work will help identify critical periods of development when experiences, such as stress exposure, may have lasting effects on mental health.
This is an opportunity to grow your path while contributing to meaningful research with the potential to inform future approaches to depression prevention.
Responsibilities
Include:
- Analyze complex research datasets, including longitudinal data from large birth cohort studies.
- Collaborate with Dr. Dunn and multidisciplinary research teams to advance innovative mental health research.
- Support research investigating risk and protective factors associated with depression.
- Examine developmental patterns and potential sensitive periods when environmental experiences may influence mental health outcomes.
- Apply analytical approaches to explore relationships between stress exposure, development, and depression risk.
- Contribute to research findings that advance scientific understanding of depression and opportunities for prevention.
What Sets Us Apart
This role offers the opportunity to combine advanced data analysis with meaningful mental health research. You'll collaborate with researchers across disciplines while contributing to studies that explore how early-life experiences and developmental timing influence depression risk.
What We're Looking For:
---------------------------
Required:
Education and Experience:
- Bachelor’s Degree.
- Four years of data analysis experience, focused in bioinformatics, computational biology, or other related field.
Skills Needed:
- Strong knowledge of R and other data analysis pipelines.
- Advanced knowledge of statistical and epidemiological study design.
- Proven ability to learn new computational tools and packages.
- Ability to handle multiple projects simultaneously.
- Understanding of data management and data analysis workflows.
- Excellent written and verbal communications skills.
- Ability to work independently and as part of a team.
- Ability to interpret acceptability of data.
- High degree of computer literacy.
- Careful attention to detail.
- Good organizational skills.
- Ability to identify problems and develop solutions.
Preferred:
- Master’s Degree.
Additional Information:
- To learn more about Purdue’s benefits summary CLICK HERE
- Purdue will not sponsor employment authorization for this position
- A background check will be required for employment in this position
- FLSA: Exempt (Not Eligible for Overtime)
- Retirement Eligibility: Defined Contribution Waiting Period
Career Stream
-----------------
Professional 3
Pay Band S070
Job Code #20002211
The anticipated annual rate for this position is $80,000-85,000/year. The final salary offer will be determined based on various factors, including internal equity, available budget, and relevant experience.
Purdue University is an equal opportunity/equal access university.
Posting Start Date: 11/13/26